The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
EGFR C797S mutation mediates resistance to third-generation inhibitors in T790M-positive non-small cell lung cancer
Open accessAbstract
T790M mutation is the most common mechanism for resistance to first- and second-generation tyrosine kinase inhibitors (TKI) for epidermal growth factor receptor (EGFR). Several third-generation EGFR mutant selective TKIs are being explored to conquer this resistance. AZD9291 (osimertinib, tagrisso) has been approved for treatment of the metastatic EGFR T790M mutation-positive non-small cell lung cancer. Resistance to AZD9291 has been described. C797S mutation was reported to be a major mechanism for resistance to T790M-targeting EGFR inhibitors. This review summarizes the latest development in identifying the C797S mutation and EAI045, the novel selective inhibitor overcoming the C797S mutant.
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Citations
Cites
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Overcoming Resistance to AC0010, a Third Generation of EGFR Inhibitor, by Targeting c-MET and BCL-2
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Metadata
- Authors
- Wang, S., Tsui, S. T., Liu, C., Song, Y., & Liu, D.
- Venue
- Journal of Hematology & Oncology
- Published
- 2016-07-22
- Volume
- 9
- Issue
- 1
- Pages
- 59-59
- ISSN
- 1756-8722 (ISSN-L)
- OpenAlex
- W2490543344
- Cited by
- 194
- References
- 20
- FWCI
- 19.86
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: EGFR C797S mutation mediates resistance to third-generation inhibitors in T790M-positive non-small cell lung cancer. https://app.cochat.ai/papers/10.1186/s13045-016-0290-1
- The paper
- Wang, S., Tsui, S. T., Liu, C., Song, Y., & Liu, D. (2016). EGFR C797S mutation mediates resistance to third-generation inhibitors in T790M-positive non-small cell lung cancer. Journal of Hematology & Oncology. https://doi.org/10.1186/s13045-016-0290-1
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
